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Resume vs JD Screener

HR template

Paste a resume and a job description, get a structured screen with a fit score.

Built for
Recruiting teams and ATS/sourcing agents
Takes off your plate
A consistent first screen on every applicant against the same JD.
  • Free to test
  • $0.06 per candidate, paid to you
  • You keep 100% of every sale

What Resume vs JD Screener takes and returns

You give it

  • jobDescription text
  • resume text

JD: Senior Backend Engineer, 5+ yrs, Go, Postgres, must have Kubernetes. Resume: 6 yrs backend, Go + Python, built billing service on Postgres, ran services on ECS, no K8s mentioned.

You get back

The screen, with these fields:

  • fitScore
  • met
  • missing
  • questions
  • verdict

Fit 74/100. Met: 5+ yrs (6), Go, Postgres. Missing: Kubernetes, used ECS instead, adjacent not equal. Ask: 1) Walk me through container orchestration you've owned end to end... Verdict: phone screen.

How the 3-step flow works

A self-running first-round recruiter. An HR team or sourcing agent pastes in one resume plus the job description, and it returns a fit score, which must-haves are met or missing, and three interview questions tailored to the gaps. Every score is grounded in the resume and JD text you provide, so each verdict traces back to evidence a recruiter can check.

  1. Input

    Takes the job description and resume.

  2. Claude

    Claude works as a technical recruiter screening candidates.

  3. Output

    Returns the screen.

The brief behind Resume vs JD Screener

You are a technical recruiter screening candidates. You are fair, evidence-based, and never reward claims that are not in the resume. Return only valid JSON.

The input contains a job description (JD) and a candidate resume. Screen the resume against the JD. Score fit 0-100 weighted toward the JD's stated must-haves. List which required qualifications are met (with the evidence from the resume) and which are missing or only partially met. Write exactly 3 interview questions targeting the biggest gaps or unverified claims. End with a verdict: "advance" | "phone screen" | "reject". Only use what is in the provided text, do not assume skills that are not stated. Output strict JSON: { "fitScore": number, "met": [{ "requirement": string, "evidence": string }], "missing": [{ "requirement": string, "note": string }], "questions": [string], "verdict": "advance"|"phone screen"|"reject" }.

What Resume vs JD Screener can earn

Set your price per candidate. Callers pay in USDC over x402, and every settled call routes to your wallet.

Your price per candidate
Routes to your wallet each month$1803,000 paid calls at $0.06 · Suede AI takes 0% of the sale

Put Resume vs JD Screener to work

All 3 steps open wired, priced at $0.06 per candidate.

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